DSP based RBF neural modeling and control for active noise cancellation

Riyanto T. Bambang*, Lazuardi Anggono, Kenko Uchida

*この研究の対応する著者

    研究成果

    7 被引用数 (Scopus)

    抄録

    This paper presents active control of acoustic noise using radial basis function (RBF) networks and its digital signal processor (DSP) real-time implementation. The neural control system consists of two stages: first, identification (modeling) of secondary path of the active noise control using RBF networks and its learning algorithm, and secondly neural control of primary path based on neural model obtained in the first stage. A tapped delay line is introduced in front of controller neural, and another tapped delay line is inserted between controller neural networks and model neural networks. An algorithm referred to as FX-RBF is proposed to account for secondary path effects of the control system arising in active noise control. The resulting algorithm turns out to be the filtered-X version of the standard RBF learning algorithm. We address centralized and decentralized controller configuration and their DSP implementation is carried out. Effectiveness of the neural controller is demonstrated by applying the algorithm to active noise control within a 3 dimension enclosure to generate quiet zones around error microphones. Results of the real-time experiments shows that 10-30 dB noise attenuation is obtained, are better than those obtained by classical least mean-square technique, such as FX-LMS.

    本文言語English
    ホスト出版物のタイトルIEEE International Symposium on Intelligent Control - Proceedings
    ページ460-466
    ページ数7
    出版ステータスPublished - 2002
    イベントProceedings of the 2002 IEEE International Symposium on Intelligent Control - Vancouver
    継続期間: 2002 10 272002 10 30

    Other

    OtherProceedings of the 2002 IEEE International Symposium on Intelligent Control
    CityVancouver
    Period02/10/2702/10/30

    ASJC Scopus subject areas

    • ハードウェアとアーキテクチャ
    • 制御およびシステム工学

    フィンガープリント

    「DSP based RBF neural modeling and control for active noise cancellation」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

    引用スタイル